{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:6KDPRGLAIR2SV4XQFYW7GZPB23","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bff47816fd7e304ef984732e756c054dfd8a4017323791f6715316b8d4c23dc4","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-08-31T12:13:04Z","title_canon_sha256":"393a74f47588400b21c2e7c414edaa71f2f715fb09c9921b71e8cf205e6f320b"},"schema_version":"1.0","source":{"id":"2009.00476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.00476","created_at":"2026-07-05T01:32:18Z"},{"alias_kind":"arxiv_version","alias_value":"2009.00476v1","created_at":"2026-07-05T01:32:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.00476","created_at":"2026-07-05T01:32:18Z"},{"alias_kind":"pith_short_12","alias_value":"6KDPRGLAIR2S","created_at":"2026-07-05T01:32:18Z"},{"alias_kind":"pith_short_16","alias_value":"6KDPRGLAIR2SV4XQ","created_at":"2026-07-05T01:32:18Z"},{"alias_kind":"pith_short_8","alias_value":"6KDPRGLA","created_at":"2026-07-05T01:32:18Z"}],"graph_snapshots":[{"event_id":"sha256:1d1022e64d3c5a4663fa8652fda2e302c13ff1f10b49356669819c3fd1b2d60b","target":"graph","created_at":"2026-07-05T01:32:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2009.00476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An off policy reinforcement learning based control strategy is developed for the optimal tracking control problem to achieve the prescribed performance of full states during the learning process. The optimal tracking control problem is converted as an optimal regulation problem based on an auxiliary system. The requirements of prescribed performances are transformed into constraint satisfaction problems that are dealt with by risk sensitive state penalty terms under an optimization framework. To get approximated solutions of the Hamilton Jacobi Bellman equation, an off policy adaptive critic l","authors_text":"C. Li, F. Liu, M.Buss, Y. Wang","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-08-31T12:13:04Z","title":"Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.00476","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b503b0bdf7c58e9f5efa3ecaecc0be56ff80c635baa672e2d3d93cc4b63cda39","target":"record","created_at":"2026-07-05T01:32:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bff47816fd7e304ef984732e756c054dfd8a4017323791f6715316b8d4c23dc4","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-08-31T12:13:04Z","title_canon_sha256":"393a74f47588400b21c2e7c414edaa71f2f715fb09c9921b71e8cf205e6f320b"},"schema_version":"1.0","source":{"id":"2009.00476","kind":"arxiv","version":1}},"canonical_sha256":"f286f8996044752af2f02e2df365e1d6d64c173d15a10cd5d4f9fcb21c92d44c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f286f8996044752af2f02e2df365e1d6d64c173d15a10cd5d4f9fcb21c92d44c","first_computed_at":"2026-07-05T01:32:18.783587Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:32:18.783587Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1xAYHtAn7zkVtPaWelHlO4NJjqwuTlJNOhomwSMc6nrTmO40dzq4EUwea7Wl6MXYxFvk0p+zY6DoX5pK07cwDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:32:18.783929Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.00476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b503b0bdf7c58e9f5efa3ecaecc0be56ff80c635baa672e2d3d93cc4b63cda39","sha256:1d1022e64d3c5a4663fa8652fda2e302c13ff1f10b49356669819c3fd1b2d60b"],"state_sha256":"227df33cdc3cf72aa70caee886351c9cf235688f347987302d25b9b13034cd51"}